Computational Model Library

You are currently accessing a test version of the comses.net website. Information that you view or store here will not be preserved and may not be consistent.

Dynamic Equilibria Prediction: Experience-Weighted Attraction (EWA), Python Implementation (1.0.0)

This project is based on a Jupyter Notebook that describes the stepwise implementation of the EWA model in bi-matrix ( 2×2 ) strategic-form games for the simulation of economic learning processes. The output is a dataset with the simulated values of Attractions, Experience, selected strategies, and payoffs gained for the desired number of rounds and periods. The notebook also includes exploratory data analysis over the simulated output based on equilibrium, strategy frequencies, and payoffs.

image.png

Release Notes

First version - model implementation and exploratory data analysis

Associated Publications

Dynamic Equilibria Prediction: Experience-Weighted Attraction (EWA), Python Implementation 1.0.0

This project is based on a Jupyter Notebook that describes the stepwise implementation of the EWA model in bi-matrix ( 2×2 ) strategic-form games for the simulation of economic learning processes. The output is a dataset with the simulated values of Attractions, Experience, selected strategies, and payoffs gained for the desired number of rounds and periods. The notebook also includes exploratory data analysis over the simulated output based on equilibrium, strategy frequencies, and payoffs.

Release Notes

First version - model implementation and exploratory data analysis

Version Submitter First published Last modified Status
1.0.0 Vinicius Ferraz Fri Dec 2 09:23:40 2022 Thu Dec 22 16:18:55 2022 Published Peer Reviewed https://doi.org/10.25937/q2xt-rj46

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept